Spectral Clustering Algorithm for Cognitive Diagnostic Assessment

Spectral Clustering Algorithm for Cognitive Diagnostic Assessment

In cognitive diagnostic assessment (CDA), clustering analysis is an efficient approach to classify examinees into attribute-homogeneous groups. Many researchers have proposed different methods, such as the nonparametric method with Hamming distance, K-means method, and hierarchical agglomerative clu...

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Bibliographic Details
Main Authors: Lei Guo, Jing Yang, Naiqing Song
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Psychology
Subjects:
cognitive diagnostic assessment
spectral clustering
K-means
G-DINA model
classification accuracy
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2020.00944/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyg.2020.00944/full

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